{"id":"W7015753125","doi":"","title":"Trend Analysis Report: Raadr (RDAR), 3D Systems (DDD),  Canadian Solar Inc.(CSIQ),  Yelp Inc(YELP) ","year":2016,"lang":"en","type":"other","venue":"","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trend analysis; Time series; Statistical analysis; Exploratory analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001886402,0.0009734228,0.0004125013,0.005789552,0.000921151,0.002136213,0.0009349608,0.0004796,0.1074431],"category_scores_gemma":[0.006538045,0.0004227188,0.000474645,0.01152392,0.0002431969,0.001668405,0.0007880176,0.0008795262,0.06486075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228532,"about_ca_system_score_gemma":0.01273544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4045758,"about_ca_topic_score_gemma":0.4049286,"domain_scores_codex":[0.9979352,0.00006128184,0.0001519282,0.0001949242,0.001535224,0.0001215497],"domain_scores_gemma":[0.9896147,0.0002936065,0.0003458536,0.0003924392,0.009081214,0.0002721576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006832242,0.0000375192,0.004888666,0.0001666598,0.000008978846,0.00003936022,0.00006583838,0.0005228036,0.0004563278,0.001589671,0.9264597,0.06569613],"study_design_scores_gemma":[0.00003207177,0.00003026941,0.0274435,0.0001231902,0.00001751557,0.00004765127,0.0002664459,0.001141091,0.002363361,0.0006385761,0.9678715,0.00002483046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005221905,0.0007781353,0.004697568,0.002050499,0.0007671323,0.0003819112,0.7556494,0.003951027,0.2265024],"genre_scores_gemma":[0.01658368,0.00256113,0.01101625,0.0001983451,0.0002163141,0.0003906888,0.4915689,0.003563374,0.4739013],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4045758,"threshold_uncertainty_score":0.8044418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004692594316564537,"score_gpt":0.1932375500537493,"score_spread":0.1885449557371848,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}